Correlation Between Huntington Ingalls and Curtiss Wright
Can any of the company-specific risk be diversified away by investing in both Huntington Ingalls and Curtiss Wright at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Huntington Ingalls and Curtiss Wright into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Huntington Ingalls Industries and Curtiss Wright, you can compare the effects of market volatilities on Huntington Ingalls and Curtiss Wright and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Huntington Ingalls with a short position of Curtiss Wright. Check out your portfolio center. Please also check ongoing floating volatility patterns of Huntington Ingalls and Curtiss Wright.
Diversification Opportunities for Huntington Ingalls and Curtiss Wright
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Huntington and Curtiss is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Huntington Ingalls Industries and Curtiss Wright in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Curtiss Wright and Huntington Ingalls is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Huntington Ingalls Industries are associated (or correlated) with Curtiss Wright. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Curtiss Wright has no effect on the direction of Huntington Ingalls i.e., Huntington Ingalls and Curtiss Wright go up and down completely randomly.
Pair Corralation between Huntington Ingalls and Curtiss Wright
Considering the 90-day investment horizon Huntington Ingalls Industries is expected to generate 1.5 times more return on investment than Curtiss Wright. However, Huntington Ingalls is 1.5 times more volatile than Curtiss Wright. It trades about 0.06 of its potential returns per unit of risk. Curtiss Wright is currently generating about -0.06 per unit of risk. If you would invest 18,695 in Huntington Ingalls Industries on December 29, 2024 and sell it today you would earn a total of 1,837 from holding Huntington Ingalls Industries or generate 9.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Huntington Ingalls Industries vs. Curtiss Wright
Performance |
Timeline |
Huntington Ingalls |
Curtiss Wright |
Huntington Ingalls and Curtiss Wright Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Huntington Ingalls and Curtiss Wright
The main advantage of trading using opposite Huntington Ingalls and Curtiss Wright positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Huntington Ingalls position performs unexpectedly, Curtiss Wright can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Curtiss Wright will offset losses from the drop in Curtiss Wright's long position.Huntington Ingalls vs. Novocure | Huntington Ingalls vs. HubSpot | Huntington Ingalls vs. DigitalOcean Holdings | Huntington Ingalls vs. Appian Corp |
Curtiss Wright vs. Mercury Systems | Curtiss Wright vs. AAR Corp | Curtiss Wright vs. Ducommun Incorporated | Curtiss Wright vs. Moog Inc |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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